ABSTRACT
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various dat
TABLE OF CONTENTS
part I|18 pages
An Overview of Data Mining
part II|119 pages
Algorithms for Mining Classification and Prediction Patterns
part III|75 pages
Algorithms for Mining Cluster and Association Patterns
part IV|34 pages
Algorithms for Mining Data Reduction Patterns
part V|26 pages
Algorithms for Mining Outlier and Anomaly Patterns
part VI|44 pages
Algorithms for Mining Sequential and Temporal Patterns
